Covid-19
A cleaned and normalized time series dataset of global COVID-19 confirmed cases, deaths, and recoveries, updated daily.
What is Covid-19?
COVID-19 dataset is a curated collection of time series data tracking the global spread of Coronavirus disease 2019. It provides daily updated figures on confirmed cases, reported deaths, and reported recoveries, disaggregated by country and sometimes subregion. The dataset addresses the need for a reliable, cleaned, and normalized source of pandemic statistics for analysis and research.
Data scientists, researchers, public health analysts, and journalists who need structured, up-to-date COVID-19 data for modeling, visualization, or reporting.
Developers choose this dataset because it offers cleaned, normalized, and well-documented data derived from authoritative sources like Johns Hopkins University, saving time on data wrangling and ensuring consistency for time-series analysis.
Overview
Novel Coronavirus 2019 time series data on cases
Use Cases
Best For
- Tracking the global spread of COVID-19 over time
- Building dashboards or visualizations of pandemic metrics
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
